traj
Clustering of Functional Data Based on Measures of Change
Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-means clustering algorithm to identify clusters of trajectories.
- Version2.2.0
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release07/04/2024
Documentation
Team
Laurence Boulanger
Marie-Pierre Sylvestre
Show author detailsRolesAuthorGillis Delmas Tchouangue Dinkou
Show author detailsRolesContributorDan Vatnik
Show author detailsRolesContributor
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- Depends1 package
- Imports3 packages
- Suggests3 packages